Spandan Dey

Indian Institute of Technology Bhubaneswar

Papers

Total Citations

H-Index

About

Dr. Spandan Dey is a researcher specializing in audio signal processing and intelligent acoustic monitoring systems. His primary research focuses on sound source localization (SSL), a technique that precisely identifies the position of sound-emitting sources using only audio data—critical for applications where visual information is unavailable. Dr. Dey’s most cited work, "Design of a Real-Time Automatic Source Monitoring Framework Based on Sound Source Localization" (2019, 5 citations), introduces a novel framework for real-time, automated surveillance and security monitoring. This contribution is particularly impactful in robotics, enabling machines like robotic waiters to respond to auditory cues, and in covert security operations. By advancing SSL methods, Dr. Dey has enhanced the reliability of audio-based situational awareness in environments ranging from smart buildings to autonomous systems. His work bridges the gap between theoretical acoustics and practical deployment, demonstrating how precise audio localization can replace or augment visual monitoring. With a growing citation footprint, Dr. Dey continues to shape the future of intelligent monitoring, making sound a powerful tool for real-world sensing and automation.